# YOLO-Improve
这个项目主要是提供一些关于yolo系列模型的改进思路,效果因数据集和参数而异,仅作参考。
# Explanation
- **iou**
添加EIOU,SIOU,ALPHA-IOU, FocalEIOU, Wise-IOU到yolov5,yolov8的box_iou中.
1. yolov5
视频教学地址:[哔哩哔哩](https://www.bilibili.com/video/BV1KM411b7Sz/).
博客地址:[CSDN](https://blog.csdn.net/qq_37706472/article/details/128737484?spm=1001.2014.3001.5501).
#### 2023-2-8 更新: 新增[Wise-IoU](https://arxiv.org/abs/2301.10051) 视频教学地址:[哔哩哔哩](https://www.bilibili.com/video/BV1tG4y1N7Gk/). reference:[github](https://github.com/Instinct323/wiou)
2. yolov8
视频教学地址:[哔哩哔哩](https://www.bilibili.com/video/BV1PY4y1o7Hm/).
博客地址:[CSDN](https://blog.csdn.net/qq_37706472/article/details/128743012?spm=1001.2014.3001.5502).
#### 2023-2-7 更新: 新增[Wise-IoU](https://arxiv.org/abs/2301.10051) 视频教学地址:[哔哩哔哩](https://www.bilibili.com/video/BV1De4y1N7Mb/). reference:[github](https://github.com/Instinct323/wiou)
- **yolov5-GFPN**
使用DAMO-YOLO中的GFPN替换YOLOV5中的Head.
视频教学地址:[哔哩哔哩](https://www.bilibili.com/video/BV1iR4y1a7bx/).
- **yolov5-C2F**
使用yolov8中的C2F模块替换yolov5中的C3模块.(这个操作比较简单,因此就不提供代码,直接看视频操作一下即可)
视频教学地址:[哔哩哔哩](https://www.bilibili.com/video/BV1rx4y1g7xt/).
- **yolov7-iou**
添加EIOU,SIOU,ALPHA-IOU, FocalEIOU, Wise-IOU到yolov7的box_iou中.
视频教学地址:[哔哩哔哩](https://www.bilibili.com/video/BV1zx4y177EF/).
博客地址:[CSDN](https://blog.csdn.net/qq_37706472/article/details/128780275?spm=1001.2014.3001.5502).
#### 2023-2-11 更新: 新增[Wise-IoU](https://arxiv.org/abs/2301.10051) 视频教学地址:[哔哩哔哩](https://www.bilibili.com/video/BV1yv4y147kf/). reference:[github](https://github.com/Instinct323/wiou)
- **yolov5-OTA**
添加Optimal Transport Assignment到yolov5的Loss中.
视频教学地址:[哔哩哔哩](https://www.bilibili.com/video/BV1xD4y1J76n/).
- **yolov5-DCN**
添加Deformable convolution V2到yolov5中.
视频教学地址:[哔哩哔哩](https://www.bilibili.com/video/BV1rT411Q76q/).
- **yolov8-DCN**
添加Deformable convolution V2到yolov8中.
视频教学地址:[哔哩哔哩](https://www.bilibili.com/video/BV1Fo4y1i7Mm/).
- **yolov7-DCN**
添加Deformable convolution V2到yolov7中.
视频教学地址:[哔哩哔哩](https://www.bilibili.com/video/BV17R4y1q7vr/).
- **yolov5-AUX**
添加辅助训练分支到yolov5中.
视频教学地址:[哔哩哔哩](https://www.bilibili.com/video/BV1Fo4y1v7bi/).
原理参考链接:[知乎](https://zhuanlan.zhihu.com/p/588947172)
- **CAM**
添加context augmentation module到yolov5中.
视频教学地址:[哔哩哔哩](https://www.bilibili.com/video/BV17b411d7ef/).
paper:[链接](https://openreview.net/pdf?id=q2ZaVU6bEsT)
- **yolov5-SAConv**
添加SAC到yolov5中.
视频教学地址:[哔哩哔哩](https://www.bilibili.com/video/BV1xD4y1u7NU/).
paper:[链接](https://arxiv.org/pdf/2006.02334.pdf)
reference: [链接](https://github.com/joe-siyuan-qiao/DetectoRS)
- **yolov7-SAConv**
添加SAC到yolov7中.
视频教学地址:[哔哩哔哩](https://www.bilibili.com/video/BV1xD4y1u7NU/).
paper:[链接](https://arxiv.org/pdf/2006.02334.pdf)
reference: [链接](https://github.com/joe-siyuan-qiao/DetectoRS)
- **yolov5-CoordConv**
添加CoordConv到yolov5中.
视频教学地址:[哔哩哔哩](https://www.bilibili.com/video/BV1ng4y1E7rS/).
reference: [链接](https://blog.csdn.net/qq_35608277/article/details/125257225)
- **yolov5-soft-nms**
添加soft-nms(IoU,GIoU,DIoU,CIoU,EIoU,SIoU)到yolov5中.
视频教学地址:[哔哩哔哩](https://www.bilibili.com/video/BV1cM41147Ry/).
- **yolov7-CoordConv**
添加CoordConv到yolov7中.
视频教学地址:[哔哩哔哩](https://www.bilibili.com/video/BV1K54y1g7ye/).
reference: [链接](https://blog.csdn.net/qq_35608277/article/details/125257225)
- **yolov7-soft-nms**
添加soft-nms(IoU,GIoU,DIoU,CIoU,EIoU,SIoU)到yolov7中.
视频教学地址:[哔哩哔哩](https://www.bilibili.com/video/BV1ZY41167iC/).
- **yolov5-DSConv**
添加DSConv到yolov5中.
视频教学地址:[哔哩哔哩](https://www.bilibili.com/video/BV1iT411a7Mi/).
paper: [链接](https://arxiv.org/abs/1901.01928)
reference: [链接](https://github.com/ActiveVisionLab/DSConv)
- **yolov7-DSConv**
添加DSConv到yolov7中.
视频教学地址:[哔哩哔哩](https://www.bilibili.com/video/BV1724y1b7PD/).
paper: [链接](https://arxiv.org/abs/1901.01928)
reference: [链接](https://github.com/ActiveVisionLab/DSConv)
- **yolov5-DCNV3**
添加DCNV3到yolov5中.
视频教学地址:[哔哩哔哩](https://www.bilibili.com/video/BV1LY411z7iE/).
补充事项-视频教学地址:[哔哩哔哩](https://www.bilibili.com/video/BV1Dv4y1j7ij/).
paper: [链接](https://arxiv.org/abs/2211.05778)
reference: [链接](https://github.com/OpenGVLab/InternImage)
- **yolov5-NWD**
添加Normalized Gaussian Wasserstein Distance到yolov5中.
视频教学地址:[哔哩哔哩](https://www.bilibili.com/video/BV1zY4y197UP/).
paper: [链接](https://arxiv.org/abs/2110.13389)
reference: [链接](https://github.com/jwwangchn/NWD)
- **yolov7-DCNV3**
添加DCNV3到yolov7中.
视频教学地址:[哔哩哔哩](https://www.bilibili.com/video/BV1mk4y1h7us/).
paper: [链接](https://arxiv.org/abs/2211.05778)
reference: [链接](https://github.com/OpenGVLab/InternImage)
- **yolov5-DecoupledHead**
添加Efficient-DecoupledHead到yolov5中.
视频教学地址:[哔哩哔哩](https://www.bilibili.com/video/BV1mk4y1h7us/).
paper: [yolov6链接](https://arxiv.org/pdf/2301.05586.pdf)
reference: [链接](https://github.com/meituan/YOLOv6/blob/main/yolov6/models/effidehead.py)
- **yolov5-FasterBlock**
添加FasterNet中的Faster-Block到yolov5中.
视频教学地址:[哔哩哔哩](https://www.bilibili.com/video/BV1Bs4y1H7Ph/).
paper: [链接](https://arxiv.org/abs/2303.03667)
reference: [链接](https://github.com/JierunChen/FasterNet)
- **yolov7-NWD**
添加Normalized Gaussian Wasserstein Distance到yolov7中.
视频教学地址:[哔哩哔哩](https://www.bilibili.com/video/BV1kM411H7g1/).
paper: [链接](https://arxiv.org/abs/2110.13389)
reference: [链接](https://github.com/jwwangchn/NWD)
- **yolov7-DecoupledHead**
添加具有隐式知识学习的Efficient-DecoupledHead到yolov7中.
视频教学地址:[哔哩哔哩](https://www.bilibili.com/video/BV1tg4y1x7ha/).
paper: [yolov6链接](https://arxiv.org/pdf/2301.05586.pdf) [yolor链接](https://arxiv.org/abs/2105.04206) [yolor参考博客](https://blog.csdn.net/AaronYKing/article/details/123804988)
reference: [链接](https://github.com/meituan/YOLOv6/blob/main/yolov6/models/effidehead.py)
- **yolov5-backbone**
添加Timm支持的主干到yolov5中.
需要安装timm库. 命令: pip install -i https://pypi.tuna.tsinghua.edu.cn/simple timm
视频教学地址:[哔哩哔哩](https://www.bilibili.com/video/BV1Mx4y1A7jy/).
reference: [链接](https://github.com/huggingface/pytorch-image-models#:~:text=I%20missed%20anything.-,Models,-All%20model%20architecture)
- **yolov7-PConv**
添加FasterNet中的PConv到yolov7中.
视频教学地址:[哔哩哔哩](https://www.bilibili.com/video/BV1Z84y137oi/).
paper: [链接](https://arxiv.org/a
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免费yolo算法的改进的各个注意力机制
共333个文件
py:181个
yaml:63个
pyc:35个
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yolo有许多改进方法,其中加强特征提取的改进就是增加注意力机制,内置各个注意力机制的代码以及算法
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免费yolo算法的改进的各个注意力机制 (333个子文件)
dcnv3_cpu.cpp 2KB
vision.cpp 699B
dcnv3_cuda.cu 8KB
dcnv3_im2col_cuda.cuh 49KB
Dockerfile 3KB
Dockerfile 821B
Dockerfile-arm64 2KB
Dockerfile-cpu 2KB
DCNv3-1.0-py3.8-linux-x86_64.egg 2.9MB
dcnv3.h 2KB
dcnv3_cuda.h 2KB
dcnv3_cpu.h 2KB
bus.jpg 476KB
zidane.jpg 165KB
optimizer_config.json 3KB
rtdetr-project.md 59KB
yolov8-project.md 44KB
readme.md 22KB
yolov5v7-light.md 18KB
bilibili-guide.md 15KB
README.md 11KB
README.md 11KB
yolov8-compress.md 9KB
readme.md 8KB
yolov8-distill.md 4KB
readme.md 3KB
readme.md 2KB
readme.md 2KB
README.md 2KB
readme.md 2KB
README.md 872B
readme.md 631B
ReadMe.md 36B
ReadMe.md 35B
ReadMe.md 35B
ReadMe.md 26B
ReadMe.md 26B
vision.o 14.75MB
dcnv3_cpu.o 1.63MB
dcnv3_cuda.o 1.4MB
PKG-INFO 172B
dataloaders.py 54KB
general.py 46KB
common.py 41KB
train.py 33KB
loss.py 33KB
export.py 31KB
FocalNet.py 28KB
tf.py 26KB
unireplknet.py 26KB
Biformer.py 24KB
plots.py 24KB
EfficientFormerV2.py 24KB
SwinTransformer.py 23KB
efficientViT.py 22KB
val.py 20KB
torch_utils.py 19KB
__init__.py 18KB
EfficientViT.py 18KB
yolo.py 18KB
common.py 17KB
augmentations.py 17KB
poolformer.py 17KB
__init__.py 16KB
RIFormer.py 16KB
repvit.py 15KB
metrics.py 14KB
yolov5-DySnakeConv.py 14KB
NextViT.py 14KB
emo.py 14KB
detect.py 14KB
dataloaders.py 14KB
yolov7-DySnakeConv.py 13KB
yolov5-TSCODE.py 13KB
VanillaNet.py 13KB
inceptionnext.py 13KB
loss.py 13KB
yolov5-DBB.py 13KB
tricks_2.py 12KB
fasternet.py 11KB
extra_modules.py 11KB
yolov7-DBB.py 11KB
yolov7-RepNCSPELAN.py 10KB
test.py 10KB
yolov8_heatmap.py 10KB
yolov5-EVC.py 10KB
od_mobilenetv2.py 9KB
yolov7-DecoupledHead.py 9KB
yolov5-dyhead.py 9KB
yolov7-asf.py 8KB
loss.py 8KB
od_mobilenetv2.py 8KB
yolov7_heatmap.py 8KB
wandb_utils.py 8KB
convnextv2.py 8KB
yolov9_heatmap.py 8KB
yolov5_heatmap.py 8KB
clearml_utils.py 8KB
yolov5-RepNCSPELAN.py 8KB
benchmarks.py 8KB
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